Williams Marc S, Ritchie Marylyn D, Payne Philip R O
Genomic Medicine Institute, Geisinger Health System, Danville, PA, USA.
Biomedical and Translational Informatics, Geisinger Health System, Danville, PA, USA; Center for Systems Genomics, The Huck Institutes of the Life Sciences, Biochemistry and Molecular Biology - Pennsylvania State University, State College, PA, USA.
Appl Transl Genom. 2015 Aug 4;6:28-30. doi: 10.1016/j.atg.2015.07.003. eCollection 2015 Sep.
The proposed Precision Medicine Initiative has the potential to transform medical care in the future through a shift from interventions based on evidence from population studies and empiric response to ones that account for a range of individual factors that more reliably predict response and outcomes for the patient. Many things are needed to realize this vision, but one of the most critical is an informatics workforce that has broad interdisciplinary training in basic science, applied research and clinical implementation. Current approaches to informatics training do not support this requirement. We present a collaborative model of training that has the potential to produce a workforce prepared for the challenges of implementing precision medicine.
拟议的精准医疗计划有可能在未来通过从基于人群研究证据和经验性反应的干预措施转向考虑一系列个体因素的干预措施来改变医疗保健，这些个体因素能更可靠地预测患者的反应和结果。要实现这一愿景需要很多条件，但最关键的条件之一是拥有一支在基础科学、应用研究和临床实施方面接受过广泛跨学科培训的信息学专业人员队伍。当前的信息学培训方法无法满足这一要求。我们提出了一种协作培训模式，该模式有可能培养出一支为应对实施精准医疗的挑战做好准备的专业人员队伍。
